code: def test_deepcopy(make_input, requires_grad):
      dp = make_input(dtype=torch.float)
  
      dp.requires_grad_(requires_grad)
  
      dp_deepcopied = deepcopy(dp)
  
      assert dp_deepcopied is not dp
      assert dp_deepcopied.data_ptr() != dp.data_ptr()
      assert_equal(dp_deepcopied, dp)
  
      assert type(dp_deepcopied) is type(dp)
      assert dp_deepcopied.requires_grad is requires_grad
  
imports: from copy import deepcopy
  import pytest
  import torch
  from common_utils import assert_equal, make_bounding_boxes, make_image, make_segmentation_mask, make_video
  from PIL import Image
  from torchvision import tv_tensors
label_desc: Use image node_id 19 for calling a global function with example usage: test_deepcopy(make_input, requires_grad) without return types